Update app.py

app.py

@@ -1,19 +1,22 @@
 import os
 import gradio as gr
 from transformers import pipeline
+from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 
 
+MODEL_ID = "jonatasgrosman/wav2vec2-large-xlsr-53-german"
+
 pipeline = pipeline(task="automatic-speech-recognition", model="openai/whisper-large")
 
-def transcribe(audiofile):
-    transcription = pipeline(audiofile)
+def transcribe(audio_path : str) -> str:
+    transcription = pipeline(audio_path)
     return transcription
 
 
 demo = gr.Interface(
     fn=transcribe,
-    inputs="microphone",
-    #inputs=gr.inputs.Audio(label="Upload audio file", type="filepath"),
+    #inputs="microphone",
+    inputs=gr.inputs.Audio(label="Upload audio file", type="filepath"),
     outputs="text"
 )